A quasi-Monte Carlo Metropolis algorithm.

نویسندگان

  • Art B Owen
  • Seth D Tribble
چکیده

This work presents a version of the Metropolis-Hastings algorithm using quasi-Monte Carlo inputs. We prove that the method yields consistent estimates in some problems with finite state spaces and completely uniformly distributed inputs. In some numerical examples, the proposed method is much more accurate than ordinary Metropolis-Hastings sampling.

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عنوان ژورنال:
  • Proceedings of the National Academy of Sciences of the United States of America

دوره 102 25  شماره 

صفحات  -

تاریخ انتشار 2005